Manufacturing of stone stairs

Service: production and installation of stone stairs
Tools: contextual advertising + web analytics

Point A - Initial situation

The client contacted us with a need to consistently receive orders in the premium construction services niche. Key challenges before starting work:

  • high cost per lead due to a narrow and expensive audience;
  • low efficiency of advertising campaigns - there were clicks, but they did not convert into requests;
  • lack of analytics: it was difficult to assess the actual performance of channels; 
  • part of the budget was «eaten up» by irrelevant requests (non-stone stairs, repairs, railings, etc.). 

Point B - What we did

We've developed a strategy to attract applications for a narrow niche:

  • We completely rebuilt the Google Ads structure for specific types of stairs and materials;
  • We cleaned up the semantics, disabled irrelevant queries, and added a large number of negative keywords;
  • implemented web analytics, connected call and application tracking;
  • optimized bids based on efficiency and user behavior on the site;
  • We tested creatives, clarifications, and extensions to improve ad relevance;
  • We implemented a strategy for maintaining contextual search results with minimal costs. 

Working period

3 years

Advertising budget

  • Total budget: 2 000 $
  • Actual expenses in the office: 1.98 thousand $
  • Average monthly budget: total ≈ 55 $/month

(This is one of the most cost-effective projects in the portfolio with an excellent CPL.)

Results

  • Cost per lead: 2,5 $
  • Clicks: 4.08 thousand.
  • Views: 30.1 thousand.
  • Average cost per click: 0,48 $ 

With a CPL of 2.5 $ the client received approximately 800+ targeted applications for the period - with a minimum advertising budget.

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<b>Niche:</b><span style="font-weight: 400;"> real estate, sale of apartments in new buildings</span><span style="font-weight: 400;"> </span><b>Tools:</b><span style="font-weight: 400;"> contextual advertising + web analytics</span>   <h2><b>Point A - Initial situation</b></h2> <span style="font-weight: 400;">When the client contacted us, the following difficulties arose:</span> <ul> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">unstable lead flow in a highly competitive real estate niche;</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">significant increase in cost per click and lack of a clear budget allocation strategy;</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">advertising campaigns were not segmented by audience, warm-up stages, or benefit blocks;</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Analytics did not allow for accurate tracking of actual conversions, which made optimization difficult.</span><span style="font-weight: 400;"> </span></li> </ul> <b>Point B - What we did</b> <span style="font-weight: 400;">We&#039;ve created a complete lead generation system with a focus on qualified traffic:</span> <ul> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">developed a new Google Ads structure for different real estate formats, queries, and demand levels;</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">implemented event tracking: calls, requests, transitions to messengers;</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">cleared the semantics, excluded expensive non-targeted queries;</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">launched A/B tests of ads, warm-up links, and various unique selling propositions;</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">optimized the advertising budget by distributing it among effective campaigns;</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">We stepped up our retargeting efforts, which significantly increased lead conversion.</span><span style="font-weight: 400;"> </span></li> </ul> <span style="font-weight: 400;">As a result, we were able to obtain high volumes of high-quality traffic at a low cost per application.</span> <h2><b>Working period</b></h2> <span style="font-weight: 400;">1 year</span> <h2><b>Advertising budget</b></h2> <ul> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Total budget: 21,000 $</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Account expenses: 17.5 thousand $</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Average monthly budget: ≈ 1,450 $/month</span><b> </b></li> </ul> <h2><b>Results</b></h2> <ul> <li style="font-weight: 400;" aria-level="1"><b>Cost per lead: 3.5 $</b></li> <li style="font-weight: 400;" aria-level="1"><b>Clicks: 39.5 thousand.</b></li> <li style="font-weight: 400;" aria-level="1"><b>Views: 1.34 million</b></li> <li style="font-weight: 400;" aria-level="1"><b>Average cost per click: 0.44 $</b><b> </b></li> </ul> <span style="font-weight: 400;">With a CPL of 3.5 $ the client received approximately</span><span style="font-weight: 400;"> </span> <b>6,000+ leads per year</b><span style="font-weight: 400;">, which is an excellent indicator for real estate.</span> <span style="font-weight: 400;">The high volume of applications allowed the client to consistently close sales and flexibly plan advertising loads.</span>

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